diff options
Diffstat (limited to 'arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h | 10 |
1 files changed, 4 insertions, 6 deletions
diff --git a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h index b0d0bbeeaa..5e64a82e48 100644 --- a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h +++ b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h @@ -49,11 +49,10 @@ public: /** Set the input and output tensor. * * @note Winograd output transform supports the following configurations: - * Output tile size: 2x2 - * Kernel size: 3x3 + * F(output tile, kernel size):F(2x2, 3x3), F(4x4, 3x3), F(4x4, 5x5) * Strides: only unit strides * - * @param[in] input Source tensor with shape [C, N, 16, batches]. Data types supported: F32. + * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F32. * @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo @@ -62,11 +61,10 @@ public: /** Static function to check if given info will lead to a valid configuration of @ref CLWinogradOutputTransformKernel * * @note Winograd output transform supports the following configurations: - * Output tile size: 2x2 - * Kernel size: 3x3 + * F(output tile, kernel size):F(2x2, 3x3), F(4x4, 3x3), F(4x4, 5x5) * Strides: only unit strides * - * @param[in] input Source tensor with shape [C, N, 16, batches]. Data types supported: F32. + * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F32. * @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input * @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input * @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo |